68 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" scholarships in Portugal
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involvement in system setup, on-site validation, or scientific publications will be highly valued. (40%) Criterion 3. Strong proficiency in Python and machine learning/computer vision libraries (e.g., PyTorch
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: Applicants must be enrolled in a PhD programme or in non-degree courses integrated into the educational project of the University of Aveiro, holding a Master’s degree in Computer Engineering or related fields
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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
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that combine machine learning and classical methods. Work Plan: -State-of art revier and publication of a review paper -Development of classical approaches -Development of hybrid approaches -Journal publication
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metrics for determining the output of a machine learning model, capable of assessing the reliability of a given input/output. 2. State of the art regarding non-invasive blood pressure estimation, focusing
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related to Computer Science, Machine Learning, Data Science, Information Management or other related areas; Have skills in the development and application of machine learning models in supervised and non
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 2 months ago
Regulations of the University of Aveiro. 5. Work Plan: This project aims to develop solutions based on Artificial Intelligence for optimizing additive manufacturing processes. Machine learning techniques will
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: Have demonstrable experience in the use of machine learning algorithms applied to engineering phenomena, especially in the areas of structural engineering; Have applied knowledge in the finite element